{"id":2004437,"url":"https://alion.io/job/atos-senior-data-scientist","title":"Senior Data Scientist","company":{"id":3006,"name":"Atos","domain":"atos.net","url":"https://alion.io/company/atos","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Romania"],"countries":["RO"],"hiring_countries":["RO"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":34000,"max_usd":88000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2127},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Computer Vision","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"HPC","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Anomaly Detection","optional":true},{"name":"EU AI Act","optional":true},{"name":"Hugging Face","optional":true},{"name":"MLFlow","optional":true},{"name":"OCR","optional":true},{"name":"Pandas","optional":true},{"name":"pySpark","optional":true},{"name":"PyTorch","optional":true}],"status":"live","first_seen_at":"2026-09-28T02:00:00Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-11T20:10:12Z","board_verified":true,"closed_at":null,"days_open":13,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":13},"description":"Bull is a story. One with a century of European innovation and a working environment where experts design powerful, sustainable, and sovereign digital solutions, enabling states and industries to retain full control over their data and their AI.\nBull is also thousands of engineers, researchers and passionate tech people shaping the future of high-performance computing, AI, and quantum technologies.\nEvery day, our teams push the boundaries of what is technologically possible - from next-generation HPC architectures to exascale supercomputers - supported by world-class R&D, more than 1,600 patents, and unique end-to-end capabilities spanning hardware design, software engineering, data science and quantum research.\nWe are a people-centric, innovation-driven company, where collaboration spans Europe, the Americas and India. We share a common vision of a responsible and sustainable innovation that delivers concrete impact for our customers.\nSenior Data Scientist\nMain Mission\nAs a Senior Data Scientist at Bull, you'll lead the technical direction on client engagements and turn ambiguous business problems into working AI products. You'll set the approach, build the core of the solution yourself, and bring the rest of the team along with you. Working in a small squad of engineers, analysts, and PMs, you'll:\nFrame the problem: Sit with clients, cut through the ambiguity, and decide what's actually worth building up, including saying when ML isn't the answer.\nOwn the solution design: Choose the modelling approach and architecture and justify the trade-offs to both engineers and executives.\nRaise the bar: Review code, mentor junior colleagues, and shape how we work across projects.\nThis job opens up for a specific long-term project that will require the following tasks:\nProfile and assess data during feasibility - completeness, bias, label quality, whether the signal is there at all\nRecommend continue or kill, with the evidence written down\nDefine the success metric at the gate, in terms the institution accepts and that will still mean something at scale\nBuild evaluation harnesses and baselines; benchmark models against them\nRun bias and fairness testing, particularly where systems touch nationality, ethnicity or vulnerable groups \nMeasure pilot results across sites and quantify what the difference implies for wider rollout\nContribute to fundamental rights impact assessments alongside the governance function\nSupport the build itself, especially model iteration and error analysis\nOur Projects & Technology Stack\nReal-world challenges across banking, insurance, manufacturing, pharmaceuticals, public sector and e-commerce, spanning call-centre logs, customer segmentation, IoT sensor streams, imagery, and web analytics. The scope is broad and keeps evolving as new data and technologies emerge.\nTech we love: Python, SQL, Pandas, PySpark, Databricks, MLflow, PyTorch, Hugging Face, and the LLM tooling ecosystem. We deploy on Azure, AWS, Google Cloud Platform and on-premises.\n How we work: Small, focused teams (2-5 people), agile workflows, strong collaboration between engineers, analysts, scientists, and PMs.\nKey Skills\nMandatory:\n5+ years building data science or ML solutions, with a track record of work that reached real users.\nPython, SQL, NoSQL, and the standard analysis stack.\nBreadth across ML domains - we'd like to see genuine hands-on depth in at least two of: LLMs and generative AI, computer vision, classical ML.\nProduction experience: you've deployed models - containers, pipelines, monitoring, retraining. You don't need to be an MLOps specialist, but you shouldn't need one to get something live.\n Comfort in the cloud (Azure, AWS, or GCP) and with distributed data processing (Spark/Databricks or equivalent).\nA strong mathematics or statistics background is preferred - you can reason why a model works, not just that it does.\nClient-facing confidence: you can explain a technical trade-off to a non-technical stakeholder and push back when it matters. And you did this many times in the past.\n Strong applied statistics: experiment design, uncertainty, calibration, and the discipline to distinguish a real effect from a hopeful one\nExperience with modern AI tools, RAG architectures, vector databases, and embedding models\nFamiliarity with LLM frameworks and libraries (e.g., LangChain, LlamaIndex)\nExperience evaluating ML systems against operational rather than academic criteria\nAbility to communicate a negative result clearly to a non-technical audience and hold your position under pressure\nYou must speak Romanian natively and English advanced.\nNice to have:\nExposure to regulated industries such as pharma, public sector, banking.\n2+ years of experience in managing teams - you have managed teams for building, deploying and maintaining an AI product/solution before.\nDatabricks experience\nOCR experience\nGraph Neural Networks\nFairness and bias auditing methodology\nFamiliarity with the EU AI Act's high-risk evaluation and documentation requirements\nDomain exposure to public administration, law enforcement, migration or emergency services\nSpatio-temporal modelling, survival analysis, or anomaly detection on log data\nWhy join us?\nOwnership of meaningful AI projects from first conversation to production.\nA team of strong engineers and scientists to build with - and to learn from.\nFlexibility, remote work options, and a culture that keeps senior people close to the code.\nTraining and Certifications: Access to continuous learning and career development opportunities.\nCompetitive salary and benefits package.\nReimbursement: Get a yearly fixed amount for reimbursement.\nPerformance Bonus: Earn an annual performance bonus based on your achievements.\nCareer Advancement: Explore numerous opportunities for professional growth and career advancement.\nExtra Vacation Days: Take advantage of additional vacation days to relax and recharge.\nHere, your ideas, your curiosity and your technical excellence directly shape the next era of advanced computing - unlocking enterprise value, accelerating scientific progress and driving positive impact for society.","description_format":"text","description_chars":6127,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":2,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"Romanian","level":"Proficiency (C2)","optional":false},{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Continuous learning"],"hiring_locations":[{"name":"Romania","iso":"RO","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Government","Managed Security","Systems Integrators","High-Performance Computing"],"lifecycle":[{"event":"open","at":"2026-10-07T12:33:56Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.84,"p_room":0.75,"age_days":12,"expected_fill_days":15,"reasons":["conf:3","velocity","win:late","comp:brand"],"computed_at":"2026-10-10T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/atos-senior-data-scientist","json_url":"https://alion.io/job/atos-senior-data-scientist.json","meta":{"generated_at":"2026-10-12T00:59:00Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1006,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3006},"rest":"https://alion.io/mcp/rest/get_company?id=3006"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fatos-senior-data-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fatos-senior-data-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fatos-senior-data-scientist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/atos-senior-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fatos-senior-data-scientist"}]}